JiajieMo / pytorch_tutorial

PyTorch tutorial for PyData Berlin

Home Page:https://pydata.org/berlin2018/schedule/presentation/7/

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PyTorch Tutorial

This project is going to contain the material of the PyTorch tutorial.

Content

Setup

Please make sure conda is installed.

Manual install

Due to some problems with the environment.yml here are instructions for a manual installation:

# create conda environment named ppt
conda new --name ppt
source activate ppt

# Install dependencies
conda install -y matplotlib numpy scipy tensorflow
# For linux
conda install -y pytorch-cpu torchvision-cpu ignite -c pytorch
# For Mac
conda install -y pytorch torchvision ignite -c pytorch
# general
conda install -y jupyterlab -c conda-forge
pip install tensorboardX tensorboard scikit-learn
pip install -e .

Install with environment.yml

Then:

# create a conda environment
conda env create -f environment.yml

activate the conda environment

source activate pydata_pytorch_tutorial

and install the ppt package (this project basically)

pip install -e .

Mac

If you have problems with the dependencies under mac check out this issue: sotte#2

# You might have to use the `environment_mac.yml`
conda env create -f environment_mac.yml
# and manually update freetype and matplotlib
conda update freetype matplotlib

Download data and models

Download data and models for the tutorial:

python download_data.py

Then you should be ready to go. Start jupyter lab

jupyter lab

Misc

To get the Table of Contents displayed within jupyter lab do the following:

# install node
conda install -c conda-forge nodejs
# install the toc extension
jupyter labextension install jupyterlab-toc

About

PyTorch tutorial for PyData Berlin

https://pydata.org/berlin2018/schedule/presentation/7/


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